Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.3 * weight + 51
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Bronzini
1
54 kgD'hoore
2
63 kgDe Vocht
5
61 kgDruyts
6
62 kgMartin
7
57 kgKopecky
14
66 kgde Baat
15
56 kgKessler
18
60 kgArys
19
60 kgNorman Leth
21
68 kgHoffmann
30
62 kgPolspoel
32
59 kgStultiens
39
58 kgHannes
42
51 kgde Vries
47
62 kgKoedooder
53
69 kgHagiwara
60
52 kgDuyck
63
60 kgKitchen
64
60 kgDemey
67
56 kgBartelloni
72
63 kgRoberts
77
61 kg
1
54 kgD'hoore
2
63 kgDe Vocht
5
61 kgDruyts
6
62 kgMartin
7
57 kgKopecky
14
66 kgde Baat
15
56 kgKessler
18
60 kgArys
19
60 kgNorman Leth
21
68 kgHoffmann
30
62 kgPolspoel
32
59 kgStultiens
39
58 kgHannes
42
51 kgde Vries
47
62 kgKoedooder
53
69 kgHagiwara
60
52 kgDuyck
63
60 kgKitchen
64
60 kgDemey
67
56 kgBartelloni
72
63 kgRoberts
77
61 kg
Weight (KG) →
Result →
69
51
1
77
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRONZINI Giorgia | 54 |
| 2 | D'HOORE Jolien | 63 |
| 5 | DE VOCHT Liesbet | 61 |
| 6 | DRUYTS Kelly | 62 |
| 7 | MARTIN Lucy | 57 |
| 14 | KOPECKY Lotte | 66 |
| 15 | DE BAAT Kim | 56 |
| 18 | KESSLER Nina | 60 |
| 19 | ARYS Evelyn | 60 |
| 21 | NORMAN LETH Julie | 68 |
| 30 | HOFFMANN Chantal | 62 |
| 32 | POLSPOEL Maaike | 59 |
| 39 | STULTIENS Sabrina | 58 |
| 42 | HANNES Kaat | 51 |
| 47 | DE VRIES Marijn | 62 |
| 53 | KOEDOODER Vera | 69 |
| 60 | HAGIWARA Mayuko | 52 |
| 63 | DUYCK Ann-Sophie | 60 |
| 64 | KITCHEN Lauren | 60 |
| 67 | DEMEY Valerie | 56 |
| 72 | BARTELLONI Beatrice | 63 |
| 77 | ROBERTS Amy | 61 |